Dear List, I am a little unsure how to structure my model and was after some advice. I am a little unsure if this question is appropriate for this list, if it is not please just delete and accept my apologise. I have 10 factors that are categorical variables and 5 levels of response variables - A B C D - Factors RESPONSE? 2 2 2 2 1 2 4 2 2 2 2 1 2 2 2 2 1 2 1 1 2 3 2 2 3 2 1 1 2 4 2 1 2 3 4 1 1 3 2 2 2 2 2 2 1 2 1 5 2 1 The response variables relate to how threatened the species is ?- from not threatened to extinct (1-5) My first approach was to divide the 5 response levels into 2 - threatened ( levels 1+2) or non threatened (levels 3,4+5) and call model1 <- lmer(THREAT~1+(1|ORDER/FAMILY) + A+B+C+D...., family=binomial)? Which worked well, now i want to see how the factors influence the individual response variables i.e do species with a response variable of 1for instance, posses certain factors, and it is this i am unsure how to build into a model. My overall goal would be to use the model as a predictive model and ask - ?"if a species has factors a ,b,c for instance , can i predict what the response level (0-5) would be"? Thanks, and once again i apologise if this is not the right place to ask this type of question. Sam,
Dear List I am a little unsure how to structure my model and was after some advice. I am a little unsure if this question is appropriate for this list, if it is not please just delete and accept my apologise. I have 10 factors that are categorical variables and 5 levels of response variables - A B C D - Factors RESPONSE? 2 2 2 2 1 2 4 2 2 2 2 1 2 2 2 2 1 2 1 1 2 3 2 2 3 2 1 1 2 4 2 1 2 3 4 1 1 3 2 2 2 2 2 2 1 2 1 5 2 1 The response variables relate to how threatened the species is ?- from not threatened to extinct (1-5) My first approach was to divide the 5 response levels into 2 - threatened ( levels 1+2) or non threatened (levels 3,4+5) and call model1 <- lmer(THREAT~1+(1|ORDER/FAMILY) + A+B+C+D..., family=binomial)? Which worked well, now i want to see how the factors influence the individual response variables i.e do species with a response variable of 1 for instance, posses certain combinations of factors, and it is this i am unsure how to build into a model. My overall goal would be to use the model as a predictive model and ask - ?"if a species has factors a ,b,c for instance , can i predict what the response level (0-5) would be".? Thanks, and once again i apologise if this is not the right place to ask this type of question. Sam,